In many practical cases the pressure response analysis is performed over a short period of time during which reservoir saturation can be considered constant.
If spatial reservoir pressure and capillary pressure gradients are not that high then hydraulic reservoir energy can be quantified by average phase pressure.
Under some basic conditions (26) – (29) the basic equations of (Modified Black Oil Reservoir Flow @model:1) – (Modified Black Oil Reservoir Flow @model:9) simplify to one equation on average phase pressure for some effective single-phase fluid (see derivation here):
(1) | \phi \, c_t \, \partial_t P - \nabla \big( M \cdot ( \nabla p - \rho \cdot \mathbf{g} ) \big) - c \cdot M \cdot (\nabla p)^2 = \sum_k \, q_k(t) \cdot \delta(\mathbf{r} -\mathbf{r}_k) |
where
t | time | ||
{\bf r} = (x,y,z) | reservoir location | ||
\mathbf{r}_k | well–reservoir contact for k-th well | ||
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| relative oil mobility as function of reservoir saturation and reservoir pressure p and temperature T | ||
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This model accumulates significant error when saturation is changing noticeably during the modelling period and in this case the pressure modelling should be conducted along with saturation modelling by solving the original equations of Volatile/Black Oil dynamic flow model.
Table 1. Pressure Diffusion Model Validity Scope Reservoir fluid temperature is not changing over time Reservoir saturation is not chaging over time No high fluid pressure gradients over reservoir volume No high capillary pressure gradients over reservoir volume
(26)
T(t, \mathbf{r}) = T(\mathbf{r})
(27)
s_w(t, \mathbf{r}) = s_w(\mathbf{r}),
\quad s_o(t, \mathbf{r}) = s_o(\mathbf{r}),
\quad s_g(t, \mathbf{r}) = s_g(\mathbf{r})
(28)
| \nabla B_o | \sim 0, \quad |\nabla B_g | \sim 0
(29)
|\nabla P_{cow}(s)| \sim 0, \quad | \nabla P_{cog}(s)| \sim 0
See also
Petroleum Industry / Upstream / Subsurface E&P Disciplines / Well Testing
[ Multi-phase pressure diffusion ] [ Volatile/Black Oil dynamic flow models @model ] [Non-linear multi-phase diffusion derivation @model ] [ Linear Perrine multi-phase diffusion @model ]